
Recursive Partitioning and Applications
Springer (Publisher)
2nd Edition
Published on 19. July 2010
Book
Hardback
XIV, 262 pages
978-1-4419-6823-4 (ISBN)
Description
Multiple complex pathways, characterized by interrelated events and c- ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e?ective method- ogy for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-basedconstraints onthe extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. However, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. It is noteworthy that similar challenges arise from data analyses in Economics, Finance, Engineering, etc. Thus, the purpose of this book is to demonstrate the e?ectiveness of a relatively recently developed methodology-recursive partitioning-as a response to this challenge. We also compare and contrast what is learned via rec- sive partitioning with results obtained on the same data sets using more traditional methods. This serves to highlight exactly where-and for what kinds of questions-recursive partitioning-based strategies have a decisive advantage over classical regression techniques.
More details
Series
Edition
Second Edition 2010
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Edition type
Revised edition
Product notice
Unsewn / adhesive bound
Paper over boards
Illustrations
XIV, 262 p.
Dimensions
Height: 241 mm
Width: 156 mm
Thickness: 22 mm
Weight
571 gr
ISBN-13
978-1-4419-6823-4 (9781441968234)
DOI
10.1007/978-1-4419-6824-1
Schweitzer Classification
Other editions
Additional editions

Heping Zhang | Burton H. Singer
Recursive Partitioning and Applications
Book
09/2012
2nd Edition
Springer
€117.69
Shipment within 15-20 days

Heping Zhang | Burton H. Singer
Recursive Partitioning and Applications
E-Book
07/2010
2nd Edition
Springer
€106.99
Available for download
Previous edition

Heping Zhang | Burton H. Singer
Recursive Partitioning in the Health Sciences
Book
03/1999
Springer
€85.59
Article exhausted; check for reprint
Persons
Heping Zhang is Professor of Public Health, Statistics, and Child Study, and director of the Collaborative Center for Statistics in Science, at Yale University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, a Myrto Lefkopoulou Distinguished Lecturer Awarded by Harvard School of Public Health, and a Medallion lecturer selected by the Institute of Mathematical Statistics.
Burton Singer is Courtesy Professor in the Emerging Pathogens Institute at University of Florida, and previously Charles and Marie Robertson Professor of Public and International Affairs at Princeton University. He is a member of the National Academy of Sciences and Institute of Medicine of the National Academies, and a Fellow of the American Statistical Association.
Content
A Practical Guide to Tree Construction.- Logistic Regression.- Classification Trees for a Binary Response.- Examples Using Tree-Based Analysis.- Random and Deterministic Forests.- Analysis of Censored Data: Examples.- Analysis of Censored Data: Concepts and Classical Methods.- Analysis of Censored Data: Survival Trees and Random Forests.- Regression Trees and Adaptive Splines for a Continuous Response.- Analysis of Longitudinal Data.- Analysis of Multiple Discrete Responses.